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Plasma metabolomics reveal alterations of sphingo- and glycerophospholipid levels in non-diabetic carriers of the transcription factor 7-like 2 polymorphism rs7903146.

PLoS ONE 8:e78430 (2013)
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Aims/Hypothesis Polymorphisms in the transcription factor 7-like 2 (TCF7L2) gene have been shown to display a powerful association with type 2 diabetes. The aim of the present study was to evaluate metabolic alterations in carriers of a common TCF7L2 risk variant. Methods Seventeen non-diabetic subjects carrying the T risk allele at the rs7903146 TCF7L2 locus and 24 subjects carrying no risk allele were submitted to intravenous glucose tolerance test and euglycemic-hyperinsulinemic clamp. Plasma samples were analysed for concentrations of 163 metabolites through targeted mass spectrometry. Results TCF7L2 risk allele carriers had a reduced first-phase insulin response and normal insulin sensitivity. Under fasting conditions, carriers of TCF7L2 rs7903146 exhibited a non-significant increase of plasma sphingomyelins (SMs), phosphatidylcholines (PCs) and lysophosphatidylcholines (lysoPCs) species. A significant genotype effect was detected in response to challenge tests in 6 SMs (C16:0, C16:1, C18:0, C18:1, C24:0, C24:1), 5 hydroxy-SMs (C14:1, C16:1, C22:1, C22:2, C24:1), 4 lysoPCs (C14:0, C16:0, C16:1, C17:0), 3 diacyl-PCs (C28:1, C36:6, C40:4) and 4 long-chain acyl-alkyl-PCs (C40:2, C40:5, C44:5, C44:6).
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Type-2 Diabetes-mellitus ; Secretory Phospholipase A(2) ; Scale Association Analysis ; Insulin-resistance ; Tcf7l2 Gene ; Adipose-tissue ; Risk ; Metabolism ; Acid ; Increases
ISSN (print) / ISBN 1932-6203
Journal PLoS ONE
Quellenangaben Volume: 8, Issue: 10, Pages: , Article Number: e78430 Supplement: ,
Publisher Public Library of Science (PLoS)
Publishing Place Lawrence, Kan.
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Experimental Genetics (IEG)
Research Unit Molecular Epidemiology (AME)
Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Epidemiology (EPI)
Molekulare Endokrinologie und Metabolismus (MEM)
CCG Nutrigenomics and Type 2 Diabetes (KKG-KDN)